Esther Klann
Esther Klann
Lecturer for Engineering Mathematics, University of Applied Sciences Merseburg
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Regularization by fractional filter methods and data smoothing
E Klann, R Ramlau
Inverse Problems 24 (2), 025018, 2008
A Mumford-Shah level-set approach for the inversion and segmentation of SPECT/CT data
E Klann, R Ramlau, W Ring
Inverse Problems & Imaging 5 (1), 137, 2011
A Mumford–Shah-like method for limited data tomography with an application to electron tomography
E Klann
SIAM Journal on Imaging Sciences 4 (4), 1029-1048, 2011
Two-step regularization methods for linear inverse problems
E Klann, P Maass, R Ramlau
Walter de Gruyter 14 (6), 583-607, 2006
Wavelet methods for a weighted sparsity penalty for region of interest tomography
E Klann, ET Quinto, R Ramlau
Inverse Problems 31 (2), 025001, 2015
Numerical methods for the design of gradient-index optical coatings
SW Anzengruber, E Klann, R Ramlau, D Tonova
Applied optics 51 (34), 8277-8295, 2012
On fractional Tikhonov regularization
D Gerth, E Klann, R Ramlau, L Reichel
Journal of Inverse and ILL-Posed Problems 23 (6), 611-625, 2015
Shrinkage versus deconvolution
E Klann, M Kuhn, DA Lorenz, P Maass, H Thiele
Inverse problems 23 (5), 2231, 2007
Wavelet-based multilevel methods for linear ill-posed problems
E Klann, R Ramlau, L Reichel
BIT Numerical Mathematics 51 (3), 669-694, 2011
Regularization Properties of Mumford--Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems
E Klann, R Ramlau
SIAM Journal on Imaging Sciences 6 (1), 413-436, 2013
Regularization of linear ill-posed problems in two steps: combination of data smoothing and reconstruction methods
E Klann
Universität Bremen, 2006
Simultaneous reconstruction and segmentation for tomography data
R Ramlau, E Klann, W Ring
PAMM: Proceedings in Applied Mathematics and Mechanics 7 (1), 1050303-1050305, 2007
Tikhonov regularization with wavelet shrinkage for linear inverse problems
E Klann, P Maß, R Ramlau
Preprint, 2006
A Mumford–Shah-type approach to simultaneous reconstruction and segmentation for emission tomography problems with Poisson statistics
E Klann, R Ramlau, P Sun
Journal of Inverse and Ill-posed Problems 25 (4), 521-542, 2017
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